A Study on Land Surveying Sampling Optimization Strategy

摘要：

At present, how to select a limited but representative sample dataset from the existing land information database to guide the new round of land survey and assessment sampling is a critical issue for land sampling strategy study. As a case study to determine and analyze the sample capacity and sample spatial location of land survey sampling for the study area, Panyu District in Guangzhou, the paper developed the strategy based on the combination of classical sampling technique and geographical model under a certain confidence level and estimation accuracy requirement, and the performance of the sampling strategy was then evaluated by the Global Gearys C and the Quick-BP neural network model respectively. The test result showed that, compared with traditional c-means clustering sampling method, the accuracy of the sampling prediction based on local Moran index spatial clustering sampling method was increased by 13.57％ which abstracted better the land information in the database.

关键词： Land survey:Sample capacity:Sampling technique Morans I:Quick-BP neural network model

作者: Junping ZHANG Yuan TIAN Xiaowen NIE Yueming HU Lun WU Shuguang LIU

作者单位: College of Informatics,South China Agricultural University Guangzhou,China Institute of Remote Sensing and Geographic Information System,Peking University Beijing,China;Depart College of Informatics,South China Agricultural University Guangzhou,510642,China Institute of Remote Sensing and Geographic Information System,Peking University Beijing,China USGS EROS Data Center South Dakota,USA

会议类型: 国际会议

会议名称: The 18th International Conference on Geoinformatics(第18届国际地理信息科学与技术大会 Geoinformatics 2010)

会议地点: 北京

会议语种:英文

页码: 27-31

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）